000			02073cam a22002775i 4500
005			20170919160040.0
008			170831s2017 mau 000 0 eng
020			_a9780128054673
040			_cIIT Kanpur
041			_aeng
082			_a005.12 _bSo23
245	0	0	_aSoftware architecture for big data and the cloud _cedited by Ivan Mistirk ... [et al.]
260			_aCambridge _bElsevier _c2017
300			_axxxviii, 432p
505			_aSoftware Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors. Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques Presents case studies involving enterprise, business, and government service deployment of big data applications Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data
650			_aSoftware architecture
650			_aSoftware engineering
650			_aComputer science
650			_aCloud computing
700			_aMistirk, Ivan [ed.]
700			_aMaxim, Bruce [ed.]
700			_aHeisel, Maritta [ed.]
700			_aAli, Nour [ed.]
700			_aBahsoon, Rami [ed.]
942			_cBK
999			_c557893 _d557893